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2.4.5 Multistage System Integration
Author(s) -
Tahan Meir,
BenAsher Joseph Z.
Publication year - 2002
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.2002.tb02532.x
Subject(s) - computer science , rendering (computer graphics) , system integration , divide and conquer algorithms , industrial engineering , algorithm , artificial intelligence , engineering , operating system
In large‐scale system developments, systems engineers usually divide the integration process into stages in order to facilitate the integration. Often this “divide‐and‐conquer” method, or what we call “multistage integration”, is the only way of rendering the integration of a complex system feasible. This paper proposes to consider the employment of the multistage integration methodology for large as well as for small systems. The main point is that, regardless of size, and even when a single stage integration is feasible, it may be beneficial, both time‐wise and cost‐wise, to pursue the multistage integration methodology. Two models are developed in order to analyze single stage and multistage integrations: a purely statistical model, and a robust design based model. Both models are shown to be viable and efficient as demonstrated by a simple representative example.